Operations | Monitoring | ITSM | DevOps | Cloud

Deploying an application is an intricate process that requires managing environment variables and secrets. These variables and secrets help applications access essential resources such as API keys, database credentials, and more. However, manually managing these variables and secrets can be challenging and time-consuming, especially for engineering teams that manage multiple applications. Fortunately, Qovery has a solution for this.

The default pod provisioning mechanism in Kubernetes has a substantial attack surface, making it susceptible to malevolent exploits and container breakouts. To achieve effective runtime security, your containerized workloads in Kubernetes require multi-layer process monitoring within the container.

Migrating your workloads to the cloud can bring some undeniable benefits to your organisation. For example, you can leverage cloud automation to significantly improve your time to market. You can also benefit from the ever increasing number of cloud regions to place your workloads close to your clients. This improves the response time of your services and, as a result, your customers’ satisfaction.

The MongoDB document-oriented database is one of the most popular database tools available today. Developed as an open-source project, MongoDB is highly scalable and can be set up in your environment in just a few simple steps. When running and managing databases, monitoring is a key requirement.

Content As we already discussed in previous articles, the Kubernetes control plane is made up of a few key components playing different roles. Those are necessary to ensure both Kubernetes and applications are functional and behaving properly.

Machine learning affects nearly every aspect of our daily lives. To understand how this technology works and how you can use machine learning, it’s necessary to know the difference between unsupervised and supervised machine learning. The following are essential points regarding the different aspects of unsupervised and supervised machine learning.

Push came to shove with disruption and innovation during the pandemic. Enterprises started leveraging new technologies to gain competitive advantage, enter new markets, support employees from home and maintain business continuity. As a result, IT is faced with new challenges that are critical for realizing the value of the digital transformation that started and accelerated during the pandemic. To state the obvious, CIOs must manage an IT infrastructure that’s safe, sound and secure.

The outages span the giants of the Internet and some of the biggest failures of IT resilience we were subject to – from AWS’s trifecta of outages in December 2021 to the October ‘21 outage that took down Facebook, Instagram, WhatsApp, and interrelated services. We also look at some more intermittent outages that you may have missed.